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| { | |
| "request_parameter_supported":true, | |
| "claims_parameter_supported":true, | |
| "scopes_supported":[ | |
| "openid", | |
| "accounts", | |
| "payments" | |
| ], | |
| "check_session_iframe":"https://host.docker.internal:9446/oidc/checksession", | |
| "issuer":"https://host.docker.internal:9446/oauth2/token", |
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| package org.dimuth; | |
| import java.io.ByteArrayOutputStream; | |
| import java.io.IOException; | |
| import java.io.OutputStreamWriter; | |
| import java.io.PrintWriter; | |
| import javax.servlet.ServletOutputStream; | |
| import javax.servlet.http.HttpServletResponse; | |
| import javax.servlet.http.HttpServletResponseWrapper; |
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| perform_basic_authentication() | |
| fraud_score = calculate_fraud_score( event_inputs ) | |
| if( fraud_score < 0.25 ) : | |
| complete_authentication() | |
| Else if(fraud_score < 0.75 ): | |
| perform_biomatrix_authentication() | |
| Else: | |
| set_authentication_failed(error_message) |
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| function onInitialRequest(context) { | |
| executeStep(1, { | |
| onSuccess: function (context) { | |
| var isAllowed = isWithinSessionLimit(context, {"sessionLimit":"2"}); | |
| if (isAllowed) { | |
| Log.info('Authentication Successfull '); | |
| } | |
| else { | |
| executeStep(2); | |
| Log.info('Authentication Successfull '); |
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| from sklearn import linear_model | |
| import numpy as np | |
| import pandas as pd | |
| from sklearn.cross_validation import train_test_split | |
| def evaluate(train_set,features,a): | |
| total_score =0 | |
| for x in range(10): | |
| train, test = train_test_split(train_set, train_size = 0.8) |
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| import pandas as pd | |
| train_features = pd.read_csv('Data/dengue_features_train.csv', | |
| index_col=[0,1,2]) | |
| train_labels = pd.read_csv('Data/dengue_labels_train.csv', | |
| index_col=[0,1,2]) | |
| # Seperate data for San Juan | |
| sj_train_features = train_features.loc['sj'] |